Content-based video retrieval via motion trajectories

Man-Kwan Shan; Suh-Yin Lee

doi:10.1117/12.319738

19 August 1998 Content-based video retrieval via motion trajectories

Man-Kwan Shan, Suh-Yin Lee

Proceedings Volume 3561, Electronic Imaging and Multimedia Systems II; (1998) https://doi.org/10.1117/12.319738
Event: Photonics China '98, 1998, Beijing, China

Abstract

Motion is one of the most prominent features of video. For content-based video retrieval, motion trajectory is the intuitive specification of motion features. In this paper, approaches for video retrieval via single motion trajectory and multiple motion trajectories are addressed. For the retrieval via single motion trajectory, the trajectory is modeled as a sequence of segments and each segment is represented as the slope. Two quantitative similarity measures and corresponding algorithms based on the sequence similarity are presented. For the retrieval via multiple motion trajectories, the trajectories of the video are modeled as a sequence of symbolic pictures. Four quantitative similarity measures and algorithms, which are also based on the sequence similarity, are proposed. All the proposed algorithms are developed based on the dynamic programming approach.

Citation Download Citation

Man-Kwan Shan and Suh-Yin Lee "Content-based video retrieval via motion trajectories", Proc. SPIE 3561, Electronic Imaging and Multimedia Systems II, (19 August 1998); https://doi.org/10.1117/12.319738

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